Abstract:
This application discloses a data processing method, applied to the field of artificial intelligence, including: obtaining to-be-processed data; and processing the to-be-processed data by using a trained neural network, to output a processing result. The neural network includes a feature extraction network and a classification network. The feature extraction network is configured to extract a feature vector expressed by the to-be-processed data in hyperbolic space. The classification network is configured to process the feature vector based on an operation rule of the hyperbolic space, to obtain the processing result. In this application, precision of processing by a model a data set including a tree-like hierarchical structure can be improved, and a quantity of model parameters can be reduced.
Abstract:
An embodiment of the present invention provides a scheelite microwave dielectric ceramic material. For example, a structure expression of the scheelite microwave dielectric ceramic material can be Bi(V1-xInx/3Mo2x/3)MoO4. In this embodiment, 0.06≦x≦0.12 An embodiment of the present invention further provides a method for preparing a scheelite microwave dielectric ceramic material.
Abstract:
An embodiment of the present invention provides a scheelite microwave dielectric ceramic material. For example, a structure expression of the scheelite microwave dielectric ceramic material can be Bi(V1-xInx/3Mo2x/3)MoO4. In this embodiment, 0.06≦x≦0.12 An embodiment of the present invention further provides a method for preparing a scheelite microwave dielectric ceramic material.